Software Engineer - AI Innovation

We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure.

We are seeking a highly motivated and experienced AI and Automation Engineer to join our AI Innovation team.

The ideal candidate

will be instrumental in designing, developing, and deploying cutting-edge AI-powered automation solutions, primarily focused on enhancing our Client onboarding, operational efficiency and financial processes. This role requires a strong blend of software engineering skills, deep understanding of Generative AI, and practical experience in implementing sophisticated automation flows.

Key Responsibilities: Customer Support Automation & Chatbots: Design, develop, and maintain AI customer chatbots and other automation tools to improve response times and resolution rates for customer support automation. Integrate AI models with existing support channels and backend systems. Generative AI & RAG Implementation: Develop and optimize applications utilizing Generative AI (GenAI), with a focus on implementing robust Retrieval-Augmented Generation (RAG) pipelines for accurate, context-aware responses. Experiment with and integrate various Large Language Models (LLMs) and foundation models. KYC & Financial Automation: Implement secure and compliant automation solutions for Know Your Customer (KYC) processes, including data validation, document processing, and risk flagging. Develop automation flows for payment handling and reconciliation, ensuring accuracy, security, and integrity of financial transactions. Software Development: Write clean, efficient, and well-documented code using Python for machine learning models, automation scripts, and system integrations. Collaborate with cross-functional teams (Product, Data Science, Operations) to define requirements and deliver solutions. Revisit the development process to fix bugs or address Agentic AI & Workflow Management (A Plus): Leverage or quickly learn AI flow software and platforms like Dify, n8n, LangChain, or other Agentic AI frameworks to build complex, multi-step automation workflows. Required Qualifications Strong proficiency in backend programming languages, especially in Python and NodeJS, In-depth knowledge of Python/Nodejs syntax, and frameworks (e.g., Django, Flask, FastAPI, NestJS). Expertise in SQL: Solid understanding of relational database concepts, SQL querying, and database optimization techniques. AI/ML: Proven experience with NLP/NLU and machine learning model deployment, specifically in the context of chatbots and customer service. GenAI/RAG: Practical experience implementing Generative AI solutions and building RAG architectures. Domain Knowledge: Direct experience with customer support automation and developing AI customer chatbots. Familiarity with financial technology processes, particularly KYC procedures and payment handling/reconciliation Preferred Qualifications (The "Nice-to-Haves") Kubernetes/Docker, Applied AI Development experience Proficient in speaking English and experienced in collaboration with global teams. oStrong desire for doing things better and faster, attention to detail and holding strong responsibility to his/her tasks. pen to challenges and eager to learn. Able to work under pressure, fast learner and able to adapt changing priorities within a fast-moving industry.